This paper provides a comprehensive overview of the current state of Generative AI (GenAI) in cybersecurity, highlighting its dual role as both a tool for enhancing defensive capabilities and a potential avenue for new attack methods. The authors discuss the advancements in large language models (LLMs) and GenAI, emphasizing their impact on cybersecurity. They explore various applications of GenAI in cybercrimes, such as automated hacking, phishing, social engineering, and malware creation. The paper also examines the potential of GenAI to improve defensive cybersecurity processes through techniques like dataset construction, safe code development, threat intelligence, and cyber-attack detection. The authors suggest that future research should focus on developing robust ethical norms and innovative defense mechanisms to address the challenges posed by GenAI in cybersecurity. They underscore the importance of interdisciplinary approaches to bridge the gap between scientific developments and ethical considerations. The paper concludes by discussing the societal, legal, and ethical implications of GenAI in cybersecurity, emphasizing the need for responsible and ethical use of these technologies.This paper provides a comprehensive overview of the current state of Generative AI (GenAI) in cybersecurity, highlighting its dual role as both a tool for enhancing defensive capabilities and a potential avenue for new attack methods. The authors discuss the advancements in large language models (LLMs) and GenAI, emphasizing their impact on cybersecurity. They explore various applications of GenAI in cybercrimes, such as automated hacking, phishing, social engineering, and malware creation. The paper also examines the potential of GenAI to improve defensive cybersecurity processes through techniques like dataset construction, safe code development, threat intelligence, and cyber-attack detection. The authors suggest that future research should focus on developing robust ethical norms and innovative defense mechanisms to address the challenges posed by GenAI in cybersecurity. They underscore the importance of interdisciplinary approaches to bridge the gap between scientific developments and ethical considerations. The paper concludes by discussing the societal, legal, and ethical implications of GenAI in cybersecurity, emphasizing the need for responsible and ethical use of these technologies.